iPhone 11
Geekbench AI Score
1180
Single Precision Score
3589
Half Precision Score
736
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 14 2024 02:53 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone 11 |
| Model ID | iPhone12,1 |
| Motherboard | N104AP |
| CPU Information | |
|---|---|
| Name | Apple A13 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.76 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
554
103.1 IPS |
|
|
Image Classification (HP)
|
100% |
2866
533.0 IPS |
|
|
Image Classification (Q)
|
97% |
278
51.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
441
7.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
492
7.98 IPS |
|
|
Image Segmentation (Q)
|
99% |
314
5.09 IPS |
|
|
Pose Estimation (SP)
|
100% |
3238
3.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
28643
33.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
3528
4.13 IPS |
|
|
Object Detection (SP)
|
100% |
578
45.8 IPS |
|
|
Object Detection (HP)
|
100% |
2462
195.3 IPS |
|
|
Object Detection (Q)
|
94% |
293
23.3 IPS |
|
|
Face Detection (SP)
|
100% |
1145
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
6926
82.3 IPS |
|
|
Face Detection (Q)
|
100% |
373
4.43 IPS |
|
|
Depth Estimation (SP)
|
100% |
1826
14.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
22969
177.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
1041
8.13 IPS |
|
|
Style Transfer (SP)
|
100% |
5155
6.63 IPS |
|
|
Style Transfer (HP)
|
100% |
10711
13.8 IPS |
|
|
Style Transfer (Q)
|
96% |
4576
5.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1637
60.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4381
161.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
625
23.1 IPS |
|
|
Text Classification (SP)
|
100% |
777
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
457
610.4 IPS |
|
|
Text Classification (Q)
|
93% |
452
607.3 IPS |
|
|
Machine Translation (SP)
|
100% |
840
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1047
18.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1037
17.9 IPS |
